Browse All Artificial Intelligence Content (1115)

Heather Poulsen shares an optimization playbook for running agentic AI workloads in production on Azure, focusing on keeping multi-agent orchestration reliable while controlling token costs and latency. It highlights practical techniques like inference routing, prompt compression, RAG tuning, caching, and FinOps-style capacity planning.

Heather Poulsen outlines a governance-first blueprint for building scalable agentic AI systems, focusing on how to embed consistent controls and quality checks across user interactions, agent orchestration, integrations, data, and models so systems can scale without losing trust and oversight.

Heather Poulsen shares an event session overview on designing Azure AI Landing Zones as a production-ready foundation for deploying AI applications and AI agents at scale, with guardrails for networking, identity, security, governance, and cost control using Microsoft’s recommended architecture frameworks.

The Visual Studio Code Team shares what’s new in VS Code 1.125 (Insiders), focusing on Agent Host improvements like the new /chronicle command set for session history, clearer file path display in chat, and updates to Cache Explorer for navigating multi-agent sessions and prompt-signature allocation details.

Allison announces an experimental public preview feature in GitHub Copilot CLI: a /security-review command that reviews local code changes for common vulnerability classes and returns severity- and confidence-scored findings plus actionable fixes directly in the terminal.

Shawn Henry shares a short overview of Microsoft Agent Framework (MAF) and points to a deeper design write-up on how the SDK is structured for building production-ready agents, including core concepts like agent loops, workflows, and harnesses.

Natalie Guevara explains how to define and run custom agents in GitHub Copilot CLI so repeated terminal tasks become consistent, reviewable workflows. The article shows how agent profiles live in your repo, and includes practical examples for security audits, IaC compliance checks, release notes drafting, and incident response.

Dan Hellem and Andrew Brenner announce a limited public preview that brings GitHub Copilot code reviews into Azure Repos pull requests, and walk through how to enable it at the organization, repository, and user levels. The post also documents preview guardrails and how token usage is billed via GitHub AI credits to Azure Cost Management.

David Williams-Young and Stefan Wernli walk through the March 2026 release highlights for the Microsoft Quantum Development Kit (QDK), covering new capabilities like improved program composability and expanded QDK Chemistry support for a broader family of model Hamiltonians.

Bill Ticehurst shows how GitHub Copilot in VS Code can speed up learning and day-to-day work with the Microsoft Quantum Development Kit (QDK), focusing on practical workflows for building, debugging, and running quantum programs so you can iterate faster.

brauerblogs announces a two-day “Path to Production for Agents” webinar series (July 27–28) focused on moving agentic AI from prototypes to production, covering governance, landing-zone architecture, AgentOps practices, security risks like prompt injection, and cost/performance optimization with Azure Monitor and Microsoft Foundry.

Allison announces that GitHub’s security validation for third-party coding agents is now generally available, bringing the same automated checks used for the GitHub Copilot cloud agent to agent-generated pull requests.

Anush Elangovan explains how AMD ROCm and Microsoft enable building and optimizing AI workloads across client devices, cloud, and on-prem environments, with an emphasis on portability and performance across different AMD hardware targets.

Mayunk Jain summarizes the Azure App Service announcements from Microsoft Build 2026, including a new “Easy AI experience” with built-in MCP, GA of Isolated v4 for App Service Environments, and Managed Instance improvements for modernizing legacy apps (including IIS) with better diagnostics and deployment workflows.

Jon Galloway recaps Microsoft Build 2026 with the main developer announcements across GitHub Copilot, Microsoft Foundry, Azure, Windows, Visual Studio, and .NET—highlighting agentic workflows, new tooling, governance specs, and a curated set of sessions and hubs to follow up on what shipped.

Daniel Roth rounds up the key .NET sessions from Microsoft Build 2026, highlighting what’s new in .NET 11 and C# (including union types), plus sessions on agentic web apps, AI building blocks for .NET, .NET MAUI on-device AI, and tooling like dotnetup.

Microsoft Threat Intelligence and the Microsoft Defender Security Research Team break down recent phishing and malvertising campaigns that abuse popular AI brands (including ChatGPT, Claude, DeepSeek, and Microsoft Copilot) as lures, and provide concrete mitigation steps using Microsoft Defender, Entra ID, and related security controls.

Sharlkaur introduces a preview workflow for AI-authored Power BI reports in Microsoft Fabric, using Skills for Fabric and the Power BI authoring plugin optimized for GitHub Copilot CLI. The post shows how agents can generate PBIR-based reports from prompts, iterate using screenshots, and publish to Fabric as part of an end-to-end agentic analytics flow.

Natalie Guevara answers common beginner GitHub questions, including how to set up SSH keys, create personal access tokens (fine-grained and classic), resolve merge conflicts, undo commits, sync forks, and review pull requests—plus a quick look at using GitHub Copilot for code review in PRs.

Visual Studio Code hosts the final Agents League challenge, where experts build business-ready knowledge agents integrated with Microsoft 365 and authored in Copilot Studio, and the audience is sent into a last sprint before the hackathon closes on June 14.

Visual Studio Code hosts an Agents League session where experts demonstrate building reasoning-based AI agents with Microsoft Foundry, focused on solving complex problems and helping participants apply the approach in their hackathon submissions.

Visual Studio Code kicks off the Agents League with a creative app-building battle, where experts demonstrate AI-assisted development using GitHub Copilot and share ideas participants can apply to their own hackathon submissions.

jordanselig announces a public preview feature that lets Azure App Service expose an existing REST API as a Model Context Protocol (MCP) server using only an OpenAPI spec. The post covers how the platform generates MCP tools, how to configure it, and what to consider for authentication and safe exposure.

John Edward outlines practical ALM and environment strategy guidance for Microsoft Copilot Studio, focusing on how to run copilots like enterprise applications with multi-environment setups, solution-based development, source control, CI/CD pipelines, configuration management, governance, and ongoing monitoring.

Hidde de Smet compares the GitHub Copilot App and the VS Code Agents Window, focusing on how each surface supports agent-first workflows: isolated sessions, worktrees, review/CI loops, and customization via MCP and instruction files. It includes a practical “which one should you use?” decision guide for day-to-day development vs delegated work.

This week's AI roundup focuses on Microsoft Foundry's shift from a model catalog to an end-to-end platform for building, operating, and distributing enterprise agents. Build 2026 updates centered on a repeatable operations loop (traces, evaluations, routing, and tuning), production-ready hosted agents with more reliable memory controls, and tool connectivity that scales through Toolboxes and managed MCP servers. On the grounding side, Foundry IQ expanded retrieval and connectors, while Teams and Microsoft 365 Copilot publishing (plus Entra ID-backed A2A endpoints) moved agent deployment closer to where work actually happens.

Learn Microsoft AI explains what an AI agent workflow is and why workflows matter when coordinating tasks across multiple agents, people, and external systems.

Authorised Territory demonstrates how to build a .NET Model Context Protocol (MCP) server over HTTP that scans for unsafe tools on startup, using the Microsoft.AgentGovernance.Extensions.ModelContextProtocol NuGet package, and pairs it with a simple .NET console client that connects to the server.

amolravande explains how to run agent-generated Python safely by combining Agent Governance Toolkit (AGT) policy enforcement with Azure Container Apps Sandboxes, using per-session microVM isolation plus a fail-closed egress proxy to reduce the blast radius of untrusted code.

Allison announces the deprecation of GPT-5.2 and GPT-5.2-Codex across most GitHub Copilot experiences, and points teams to the supported replacement models and the admin settings needed to enable them in Copilot Enterprise.

Allison announces a public preview feature that lets enterprises centrally configure and distribute GitHub Copilot CLI plugins through VS Code 1.122, using a shared settings.json so standardized plugin marketplaces, hooks, and MCP configurations are applied automatically for licensed users.

John Savill runs through a Build-special weekly Azure update, covering a wide set of platform announcements across compute, containers, integration, monitoring, databases, Fabric/Databricks, and Azure AI Foundry—plus security-focused items like confidential computing and Purview agent integrations.

GitHub demonstrates how to extend GitHub Copilot code review using Model Context Protocol (MCP) and custom skills, so reviews can incorporate internal documentation and repository-defined checklists to produce findings aligned with a team’s engineering standards.

Microsoft Defender Security Research Team, Dor Edry and Amit Eliahu break down a prompt-injection pathway in Anthropic’s Claude Code GitHub Action that could leak CI/CD secrets by reading /proc/self/environ, and provide practical hardening guidance for AI-powered GitHub Actions workflows.

Charles Feddersen and Abe Omorogbe explain how AI apps and agents change database design, focusing on reasoning over operational data instead of only transactions. They demo new capabilities across Azure SQL Database, Azure Cosmos DB, and Azure HorizonDB (cloud-native PostgreSQL) to simplify architectures and reduce latency.

Seth Juarez explains how Azure AI Foundry Toolboxes let teams build, discover, and govern tools across multiple AI agents, reducing duplicated integration work around authentication, credentials, and endpoint wiring.

Scott Hanselman hosts a Microsoft Build live “vibe check” where AI-assisted demos are put under scrutiny: what the AI actually built, where the seams are, and whether the result is a clever prototype or something that could hold up in production.

Cassidy Williams joins Scott Hanselman and Mark Russinovich for a live Microsoft Build session where they “vibe check” an AI-assisted demo, digging into what the AI produced versus what required human fixes, and where the seams show up when you push a prototype toward something more real.

Scott Hanselman hosts a live Build 2026 “vibe check” with Simon Willison, reviewing AI-assisted demos and digging into what the AI actually built, where the seams are, and what it would take to move from clever prototype to production-ready software.

Pierce Boggan recaps day one highlights from Microsoft Build 2026, focusing on how VS Code and GitHub Copilot roles are evolving, what’s coming next for AI adoption in the editor, and how agent-style workflows are changing developer expectations.